Beatrix Krause-Sorio
Overview
Explore the profile of Beatrix Krause-Sorio including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
16
Citations
112
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Krause-Sorio B, Becerra S, Siddarth P, Simmons S, Kuhn T, Lavretsky H
Front Hum Neurosci
. 2025 Feb;
18:1440177.
PMID: 39902058
Objectives: Exposure to art, nature, or meditation, all transcending human experiences, has beneficial effects on health and wellbeing. Focusing inward or watching art and nature videos elicits positive emotions that...
2.
Krause-Sorio B, Siddarth P, Milillo M, Kilpatrick L, Ercoli L, Narr K, et al.
Int Psychogeriatr
. 2023 Dec;
36(11):1030-1038.
PMID: 38053398
Objectives: Geriatric depression (GD) is associated with cognitive impairment and brain atrophy. Tai-Chi-Chih (TCC) is a promising adjunct treatment to antidepressants. We previously found beneficial effects of TCC on resting...
3.
Kilpatrick L, Siddarth P, Krause-Sorio B, Milillo M, Aguilar-Faustino Y, Ercoli L, et al.
J Alzheimers Dis
. 2023 Jul;
95(1):149-159.
PMID: 37482992
Background: Yoga may be an ideal early intervention for those with modifiable risk factors for Alzheimer's disease (AD) development. Objective: To examine the effects of Kundalini yoga (KY) training versus...
4.
Krause-Sorio B, Siddarth P, Milillo M, Kilpatrick L, Narr K, Lavretsky H
Int Psychogeriatr
. 2023 Jun;
35(12):698-706.
PMID: 37381880
Objectives: Geriatric depression (GD) is associated with significant medical comorbidity, cognitive impairment, brain atrophy, premature mortality, and suboptimal treatment response. While apathy and anxiety are common comorbidities, resilience is a...
5.
Kilpatrick L, Siddarth P, Milillo M, Krause-Sorio B, Ercoli L, Narr K, et al.
J Affect Disord
. 2022 Jul;
315:1-6.
PMID: 35905792
Background: As an adjunct to antidepressant treatment, Tai Chi Chih (TCC) is superior to health education and wellness (HEW) training in improving the general health of patients with geriatric depression...
6.
Krause-Sorio B, Siddarth P, Kilpatrick L, Milillo M, Aguilar-Faustino Y, Ercoli L, et al.
J Alzheimers Dis
. 2022 Mar;
87(2):569-581.
PMID: 35275541
Background: Female sex, subjective cognitive decline (SCD), and cardiovascular risk factors (CVRFs) are known risk factors for developing Alzheimer's disease (AD). We previously demonstrated that yoga improved depression, resilience, memory...
7.
Kilpatrick L, Krause-Sorio B, Siddarth P, Narr K, Lavretsky H
Brain Behav
. 2022 Mar;
12(4):e2475.
PMID: 35233974
Objectives: Default mode network (DMN) connectivity is altered in depression. We evaluated the relationship between changes in within-network DMN connectivity and improvement in depression in a subsample of our parent...
8.
Lee S, Milillo M, Krause-Sorio B, Siddarth P, Kilpatrick L, Narr K, et al.
Int J Environ Res Public Health
. 2022 Feb;
19(4).
PMID: 35206594
Growing evidence supports the concept that bidirectional brain-gut microbiome interactions play an important mechanistic role in aging, as well as in various neuropsychiatric conditions including depression. Gray matter volume (GMV)...
9.
Krause-Sorio B, An E, Aguila A, Martinez F, Aysola R, Macey P
Front Physiol
. 2021 Nov;
12:737493.
PMID: 34803729
Inspiratory muscle training (IMT) may improve respiratory and cardiovascular functions in obstructive sleep apnea (OSA) and is a potential alternative or adjunct treatment to continuous positive airway pressure (CPAP). IMT...
10.
Grzenda A, Speier W, Siddarth P, Pant A, Krause-Sorio B, Narr K, et al.
Front Psychiatry
. 2021 Nov;
12:738494.
PMID: 34744829
Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using...